RESUMEN
We aimed to review the current data composition of the Korean Tuberculosis and Post-Tuberculosis Cohort, which was constructed by linking the Korean Tuberculosis Surveillance System (KNTSS; established and operated by the Korean Disease Control and Prevention Agency since 2000) and the National Health Information Database (NHID; established by the National Health Insurance Service in 2012). The following data were linked: KNTSS data pertaining to patients diagnosed with tuberculosis between 2011 and 2018, NHID data of patients with a history of tuberculosis and related diseases between 2006 and 2018, and data (obtained from the Statistics Korea database) on causes of death. Data from 300 117 tuberculosis patients (177 206 men and 122 911 women) were linked. The rate of treatment success for new cases was highest in 2015 (86.7%), with a gradual decrease thereafter. The treatment success rate for previously treated cases showed an increasing trend until 2014 (79.0%) and decreased thereafter. In total, 53 906 deaths were confirmed among tuberculosis patients included in the cohort. The Korean Tuberculosis and Post-Tuberculosis Cohort can be used to analyze different measurement variables in an integrated manner depending on the data source. Therefore, these cohort data can be used in future epidemiological studies and research on policy-effect analysis, treatment outcome analysis, and health-related behaviors such as treatment discontinuation.
RESUMEN
The National Evidence-based Healthcare Collaborating Agency (NECA), an institution for health technology assessment in Korea, has used public solicitation of research topics since its establishment in 2009. This creates a necessity for examining whether a given research topic was selected to be considered when prioritizing healthcare technology assessment and distributing healthcare resources. This study aimed to investigate the relationship between the research topics suggested to NECA and the disease burden in Korea. To find the correlation between disease burden and 1,112 suggested topics and 91 performed topics that were classified by Human Research Classification System a linear auxiliary trend line and scatter plot were constructed using disability-adjusted life years (DALYs), and Pearson's correlation coefficients were calculated. The results suggested that cancer was most common, followed by cardiovascular diseases, among suggested research topics and research topics performed by NECA, as well as in terms of the ratio of performed to suggested topics. The correlation between research topic and disease burden index indicated a strong correlation with DALYs and years of life lost (YLLs). However, years lived with disability and research topic had no relationship. Suggested topics showed a greater correlation with YLLs than DALYs, whereas performed topics showed a greater correlation with DALYs than YLLs, showing that despite the fact that the diseases with a high burden from morbidity were appropriately considered with respect to selecting research topics, a statistically significant difference was not found. As the first Korean study to assess the correlation between research topics and disease burden, our results will be used as base data for prioritizing the allocation of healthcare resources in the future.